@proceedings{26,
  keywords = {Arctic, bedfast ice, lake ice, permafrost, SAR},
  author = {C.R. Duguay and J. Wang},
  title = {Advancement in bedfast lake ice mapping from Sentinel-1 SAR data},
  abstract = {<p>Algorithms for the generation of a bedfast/floating lake ice product from Sentinel-1A/B synthetic aperture radar (SAR) data were implemented, cross-compared, and validated for various permafrost regions (Alaska, Canada and Russia). The algorithms consisted of: 1) thresholding; 2) Iteration Region Growing with Semantics (IRGS); and 3) K-means. The thresholding algorithm (92.4\%) was found to perform slightly better on average than the IRGS algorithm (90.1\%), and to outperform K-means (85.3\%). The thresholding algorithm was therefore selected for implementation of a processing chain to generate a novel bedfast/floating lake ice product. Using a time series of Sentinel-1 SAR data, the new map product shows the day of year (DOY) when the ice becomes bedfast or remains afloat for individual lake sections.</p>
},
  year = {2019},
  pages = {6922-6925},
  month = {07/2019},
  publisher = {IEEE},
  address = {Yokohama, Japan},
}